Comprehensive evaluation of Luzhou‐flavor liquor quality based on fuzzy mathematics and principal component analysis
Year: 2022
Type: article
Abstract: Currently, the primary method of identifying high- and low-quality liquors is sensory tasting, which is prone to uncertainty caused by the biases of tasters. To address this problem, this study used color, aroma, taste, and style as four factors affecting the sensory quality of Luzhou-flavor liquor; determined the weights of each factor; and quantitatively evaluated the sensory quality of five different Luzhou flavor liquor using fuzzy mathematical methods. The volatile aromatic substances in the liquor samples were detected by GC-MS, and analyzed using principal component analysis. The results obtained from fuzzy mathematics and principal component analysis indicated that the comprehensive evaluation system was scientifically sound and reasonably constructed.
Source: Food Science & Nutrition
DOI: 10.1002/fsn3.2796
Language: English
Subfield: Food Science
Domain: Life Sciences
Open Access status: hybrid
Estimated APC paid: $3,000
Funder: Henan University
Award: G3873882934
OpenAlex ID: W4220768892
